<i>Considering Matthew Shepard</i> : normative and anti-normative queer spatial narratives and the politics of performance in choral music
Bibliographic record
Abstract
I present a cultural geographical analysis of the recent choral composition Considering Matthew Shepard. I explore the cultural, musical, and emotional geographies of this piece of music, in terms of its content and my experience of rehearsing and then performing the piece as a member of the choir. Drawing on cultural geography, musical geography, and queer theory, I argue that the memorializing of Matthew Shepard’s killing through this musical setting both repeats and challenges the normative popular and academic framings of Shepard’s murder and, more generally, queer critiques of the memorialization and historicization of lesbian, gay, bisexual, transgender, and queer pasts. I explore this by examining three spatial themes in Considering Matthew Shepard: its representations of (1) Wyoming, (2) the fence (where Shepard was left by his assailants), and (3) universality. I also point to what musical geographies might gain in looking more closely at choral music performance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".